Regionalizing and matching features for interpolated displacement in the automated generalization of digital cartographic databases

Expert-guided generalization can be an effective method for generating displaced, simplified and smoothed cartographic lines at a scale between those of a given set of matched large-scale and small-scale representations. Efficient implementation of interpolated generalization can benefit from an automated or semi-automated technique to assist the simultaneous partitioning of the two representations into corresponding sections with matched endpoints. Matched regionalization can take advantage of readily identified intersections of corresponding features. In addition, a measurement template can be useful in identifying exchange crossings of otherwise parallel linear features, such as a highway and railroad that share a transportation corridor. -from Author